AI Agents
AI Agent Diff Review: Comparing Proposed Changes Before Approval
How AI agent workflows can make proposed changes reviewable through diffs, before-and-after evidence, scoped …
Human Review
AI Agents
AI Agent Style Guides: Turning Preferences Into Stable Output
How to give AI agents durable style guidance for tone, terminology, examples, formatting, source use, and review without …
AI Agents
AI Agent Source Provenance: Keeping Evidence Attached to the Work
How to keep source evidence, tool results, uncertainty, and version context attached to AI agent outputs so reviewers …
AI Agents
AI Agent Approval Scopes: Saying Yes Without Losing the Boundary
How to design AI agent approvals with clear scope, expiration, evidence, reviewer intent, and invalidation rules so …
AI Agents
AI Agent Notification Design: Interruptions, Batches, and Quiet Signals
How to decide when AI agents should interrupt people, batch progress, surface quiet status, escalate urgent work, and …
AI Agents
AI Agent Feedback Loops: Turning Corrections Into Better Delegation
How to turn human corrections, rejected outputs, review notes, traces, and production surprises into better AI agent …
AI Agents
AI Agent Review Queues: Moving Human Judgment Without Bottlenecks
How to design AI agent review queues that route delegated outputs through triage, evidence review, approval, revision, …
AI Agents
AI Agent Acceptance Criteria: Defining Done Before Delegation
How to define acceptance criteria for AI agent work so delegated tasks finish with evidence, boundaries, validation, and …
AI Agents
AI Agent Status Updates: How Delegates Should Report Progress
How AI agents should communicate progress, blockers, evidence, changes, and next actions during delegated work without …
AI Agents
AI Agent Escalation Paths: Knowing When to Ask for Help
How to design escalation paths for AI agents so uncertainty, missing access, risk, and blocked work reach the right …
AI Agents
AI Agent Artifact Design: Turning Runs Into Reviewable Work
How to design AI agent outputs as durable artifacts with evidence, provenance, versioning, validation, and handoff …
AI Agents
AI Agent Output Verification: Checking Work Before It Becomes Trusted
How to verify AI agent outputs against the original task, source evidence, tool results, permissions, tests, and handoff …